云环境中密文搜索技术的研究
发布时间：2018-10-07 18:24
【摘要】：随着云存储技术的高速发展,越来越多的个人或者企业把大量的私有数据委托给云服务商存储。那么,如何保证云端私有数据的安全性和隐私性成为信息安全领域一个热门的研究课题。数据的加密是保证数据安全的一种有效的方式,但对加密数据的检索却是一项非常困难的任务,因此,可搜索加密技术成为国内外研究的热点之一。带关键词的可搜索公钥加密机制是密文搜索技术的一种,它通过对密文部分属性进行匹配从而达到检索密文的目的,具有广泛的研究和应用价值。本论文主要研究带关键字的可搜索公钥加密技术以及该技术在云存储中的应用。 针对现有部分关键字公钥可搜索加密方案效率不高、安全性较低、必须使用安全信道传输数据等缺陷,本文提出了一种新的、高效的多关键字可搜索公钥加密方案(NSCF-PECK).这种方案基于双线性对构造,并采用公共信道来传输密文。在整个算法的设计上,仅仅使用了两次双线性对运算,极大的减小了可搜索公钥加密技术的计算开支。同时在客户端和云服务器之间采用公共信道来传送加密的数据,减少了建设安全信道的费用。最后,本论文证明了NSCF-PECK方案的一致性,深入分析了该算法的高效性和安全性。 在上述NSCF-PECK可搜索公钥加密方案的基础上,本文提出了一种云端密文搜索系统的应用方案。该应用方案利用MapReduce并行计算模型技术设计该应用方案的并行搜索引擎,把一些开源技术和分布式计算思想应用到该应用方案之中,充分利用云计算技术优势提高对海量密文的搜索效率。该系统采用分层化和模块化的设计思路保证了方案的可维护性、可扩展性和应用的灵活性
[Abstract]:With the rapid development of cloud storage technology, more and more individuals or enterprises entrust a large number of private data to cloud service providers. Therefore, how to ensure the security and privacy of cloud private data has become a hot research topic in the field of information security. Data encryption is an effective way to ensure data security, but the retrieval of encrypted data is a very difficult task. Therefore, searchable encryption technology has become one of the research hotspots at home and abroad. The searchable public key encryption mechanism with keywords is one of the ciphertext search techniques. It can retrieve ciphertext by matching some attributes of ciphertext. It has extensive research and application value. In this paper, the search public key encryption technology with keywords and its application in cloud storage are studied. In view of the shortcomings of the existing public key searchable encryption schemes such as low efficiency and low security, it is necessary to use secure channel to transmit data. A new and efficient multi-keyword searchable public key encryption scheme (NSCF-PECK) is proposed in this paper. This scheme is based on bilinear pairs and uses common channels to transmit ciphertext. In the design of the whole algorithm, only two bilinear pairings are used, which greatly reduces the computational cost of searchable public key encryption technology. At the same time, the common channel is used to transmit encrypted data between client and cloud server, which reduces the cost of building secure channel. Finally, the consistency of NSCF-PECK scheme is proved, and the efficiency and security of the algorithm are analyzed. Based on the above NSCF-PECK searchable public key encryption scheme, this paper presents an application scheme of cloud ciphertext search system. The application scheme uses MapReduce parallel computing model technology to design the parallel search engine of the application scheme, and applies some open source technologies and distributed computing ideas to the application scheme. Make full use of cloud computing technology to improve the search efficiency of massive ciphertext. The system adopts layered and modularized design ideas to ensure the maintainability, extensibility and flexibility of the scheme.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP309
本文编号：2255216
[Abstract]:With the rapid development of cloud storage technology, more and more individuals or enterprises entrust a large number of private data to cloud service providers. Therefore, how to ensure the security and privacy of cloud private data has become a hot research topic in the field of information security. Data encryption is an effective way to ensure data security, but the retrieval of encrypted data is a very difficult task. Therefore, searchable encryption technology has become one of the research hotspots at home and abroad. The searchable public key encryption mechanism with keywords is one of the ciphertext search techniques. It can retrieve ciphertext by matching some attributes of ciphertext. It has extensive research and application value. In this paper, the search public key encryption technology with keywords and its application in cloud storage are studied. In view of the shortcomings of the existing public key searchable encryption schemes such as low efficiency and low security, it is necessary to use secure channel to transmit data. A new and efficient multi-keyword searchable public key encryption scheme (NSCF-PECK) is proposed in this paper. This scheme is based on bilinear pairs and uses common channels to transmit ciphertext. In the design of the whole algorithm, only two bilinear pairings are used, which greatly reduces the computational cost of searchable public key encryption technology. At the same time, the common channel is used to transmit encrypted data between client and cloud server, which reduces the cost of building secure channel. Finally, the consistency of NSCF-PECK scheme is proved, and the efficiency and security of the algorithm are analyzed. Based on the above NSCF-PECK searchable public key encryption scheme, this paper presents an application scheme of cloud ciphertext search system. The application scheme uses MapReduce parallel computing model technology to design the parallel search engine of the application scheme, and applies some open source technologies and distributed computing ideas to the application scheme. Make full use of cloud computing technology to improve the search efficiency of massive ciphertext. The system adopts layered and modularized design ideas to ensure the maintainability, extensibility and flexibility of the scheme.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP309
【参考文献】
中国期刊全文数据库 前10条
1 杨振贤;;基于云计算的安全数据存储研究与设计[J];信息安全与技术;2011年10期
2 拓守恒;;云计算与云数据存储技术研究[J];电脑开发与应用;2010年09期
3 张蓓;王晓明;;带关键词检索的公钥加密方案[J];计算机工程;2010年06期
4 胡光永;;基于云计算的数据安全存储策略研究[J];计算机测量与控制;2011年10期
5 易玮;王彩芬;;公钥可搜索加密[J];科技信息;2009年15期
6 陆小丽;何加铭;;基于Map/Reduce的索引数据云存储模型研究[J];宁波大学学报(理工版);2011年03期
7 梁宇;路劲;刘笠熙;张驰;;一种云计算环境下的加密模糊检索方案[J];计算机科学;2011年S1期
8 冯登国;张敏;张妍;徐震;;云计算安全研究[J];软件学报;2011年01期
9 吴宝贵;丁振国;;基于Map/Reduce的分布式搜索引擎研究[J];现代图书情报技术;2007年08期
10 黄永峰;张久岭;李星;;云存储应用中的加密存储及其检索技术[J];中兴通讯技术;2010年04期
中国博士学位论文全文数据库 前1条
1 吴炜;密文全文检索系统中的索引机制研究[D];华中科技大学;2009年
中国硕士学位论文全文数据库 前2条
1 蒋明原;云计算平台在搜索引擎中的关键技术研究[D];中北大学;2011年
2 张蓓;带关键词检索公钥加密技术的研究与实现[D];暨南大学;2010年
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